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Conference Paper
Detecting a Large Number of Objects in Real-Time Using Apache Storm
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- Authors
- Dong-Hyuck Im, Cheol-Hye Cho, IlGu Jung
- Issue Date
- 2014-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2014, pp.836-838
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Object detection is an important function for intelligent multimedia processing, but its computational complexity prevented its pervasive uses in consumer electronics. To process large-scale datasets in real-time, more resources and reliable infrastructures are required for spreading the data and running the applications across multiple machines in parallel. In order to detect a large number of objects in real-time, a task-parallel processing framework based on Storm is proposed.
- KSP Keywords
- Computational complexity, Important function, Intelligent Multimedia, Large-scale datasets, Multimedia processing, Parallel Processing, Real-time, apache storm, consumer electronics, object detection